Skills / Run It in Production / Data quality & trust
Run It in Production

Data Lineage & Audit Evidence

Traces any number back to origin, rates trust on every hop, and builds an evidence pack that survives an examiner.

Private skill · shared by invitation · How access works

Illustrative output of Data Lineage & Audit Evidence: Traces any number back to origin, rates trust on every hop, and builds an evidence pack that survives an examiner.
Illustrative output with sample data.
The challenge

The examiner says: prove it. You hand them a diagram.

Diagrams, not proof

Tool-inferred lineage is presented as if it were tested.

Shadow hops

Spreadsheets, emails and desktop databases sit in the chain, invisible.

Lineage everything

Programmes try to map the whole estate and never finish.

Undefined elements

Tracing a number with no agreed definition produces an unfalsifiable map.

How it works

From first question to finished output.

Anchor on the number

Start from a Key Business Element a person cares about, not a system.

Walk backwards

Hop by hop from consumer to origin, rating each hop Declared, Derived or Verified.

Count the shadow hops

Name every manual step. They are the finding.

Build the pack

Scope, chains, weakest-hop ratings and the evidence an examiner asks for.

What you get

  • Hop-by-hop chains with trust rated per hop: Declared, Derived or Verified
  • Shadow hops identified and counted
  • An evidence pack structured to survive an examiner

What goes in

Report and element inventory, code and ETL metadata access, SME interviews for the gaps.

Time to answer

As a consulting engagement14 weeks4 people · 56 consultant-weeks
Running the skill1–2 days per report sethop by hop, with trust rated

What it still needs from you

Interviewing for the shadow hops. No parser sees the spreadsheet on a laptop.

Also in Run It in Production

See where this fits in the sequence →

See Data Lineage & Audit Evidence in action.

Thirty minutes with Harveer, on your own data problem.